Kalatu Davies

38 total papers · 421 total citations
23 papers, 313 citations indexed

About

Kalatu Davies is a scholar working on Oncology, Epidemiology and Statistics and Probability. According to data from OpenAlex, Kalatu Davies has authored 23 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Epidemiology and 4 papers in Statistics and Probability. Recurrent topics in Kalatu Davies's work include Cervical Cancer and HPV Research (6 papers), Global Cancer Incidence and Screening (5 papers) and Statistical Methods in Clinical Trials (4 papers). Kalatu Davies is often cited by papers focused on Cervical Cancer and HPV Research (6 papers), Global Cancer Incidence and Screening (5 papers) and Statistical Methods in Clinical Trials (4 papers). Kalatu Davies collaborates with scholars based in United States, Canada and United Kingdom. Kalatu Davies's co-authors include Scott B. Cantor, W. Jones Williams, M M Roberts, Nicholas J. Robert, Janet L. Espirito, Jennifer R. Frytak, Michele Follen, Israel Lowy, Dennis D. Cox and Matthew G. Fury and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Blood.

In The Last Decade

Kalatu Davies

23 papers receiving 294 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kalatu Davies	192	127	52	52	43	23	313
Vasileia Damaskou	102 0.5×	64 0.5×	57 1.1×	45 0.9×	24 0.6×	28	271
Yinli Zhang	61 0.3×	163 1.3×	42 0.8×	37 0.7×	17 0.4×	19	332
J.F. Baurain	187 1.0×	49 0.4×	102 2.0×	29 0.6×	18 0.4×	26	323
O. M. Curling	103 0.5×	38 0.3×	32 0.6×	25 0.5×	31 0.7×	19	321
Yiqun Jiang	95 0.5×	46 0.4×	87 1.7×	74 1.4×	43 1.0×	37	280
Miekel M. van de Sandt	85 0.4×	184 1.4×	68 1.3×	21 0.4×	38 0.9×	19	346
David P. Boyle	129 0.7×	50 0.4×	65 1.3×	10 0.2×	68 1.6×	15	295
Ryota Tanaka	155 0.8×	75 0.6×	138 2.7×	108 2.1×	41 1.0×	35	355
Celso di Loreto	85 0.4×	179 1.4×	107 2.1×	8 0.2×	51 1.2×	31	340
Margareta Strojan Fležar	130 0.7×	82 0.6×	60 1.2×	23 0.4×	58 1.3×	39	358

Countries citing papers authored by Kalatu Davies

Since Specialization

Citations

This map shows the geographic impact of Kalatu Davies's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kalatu Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalatu Davies more than expected).

Fields of papers citing papers by Kalatu Davies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kalatu Davies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kalatu Davies. The network helps show where Kalatu Davies may publish in the future.

Co-authorship network of co-authors of Kalatu Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Kalatu Davies. A scholar is included among the top collaborators of Kalatu Davies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kalatu Davies. Kalatu Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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